Personalised Dynamic Recommendations

Hi ​@RaghavAggarwal,

I can think of two possibilities:

Request Parameter Filtering
    •    Add filterable fields as entity attributes (e.g. gender, productionFunction)
    •    Use dynamic inclusion rules in the criteria
(entity.gender == ${mbox.gender})
    •    On filter change, re-call the same Recommendations mbox with updated params
    •    Target recalculates recommendations server-side

Or Profile Attribute Filtering
Store selected filters in profile.* attributes
    •    Match entity attributes against profile values in the criteria
    •    Trigger the rec mbox again

Note: Recommendations only update after a new Target request, not client-side re-ranking.

Hope this helps you.

HI ​@RaghavAggarwal  

Agree with ​@Perrin_Ennen  he rightly added the options for your use case. 

1. Parameter matching -  compare / match your entity attributes values against the values in mbox parameters 
2. Profile attribute matching - compare/match values against stored visitor profile

Here is the detailed guide with example that helps to start with 

https://experienceleague.adobe.com/en/docs/target/using/recommendations/criteria/dynamic-static/use-dynamic-and-static-inclusion-rules 

In case you’re looking specific - please add details here. 

Hope this helps. 

Thank you.